Automatic heart disease prediction is a major global health concern. Effective cardiac
treatment requires an accurate heart disease prognosis. Therefore, this paper proposes a …

Making an accurate and timely diagnosis of cardiac disease is critical for preventing and
treating heart failure. The accuracy of results produced by traditional machine learning (ML) …

The study is intended to be in accordance with recent World Health Organization (WHO)
findings on Congenital heart disorders (CHD), the most frequent heart condition and feasible …

Heart disease is a global health concern of paramount importance, causing a significant
number of fatalities and disabilities. Precise and timely diagnosis of heart disease is pivotal …

Heart failure disease is a complex clinical issue which has more impact on life of human
begins. Hospitals and cardiac centers frequently employ electrocardiogram (ECG) tool to …

This paper proposes an improved Recursive Least Square (RLS) algorithm to address the
limitations of the conventional RLS algorithm, which suffers from poor performance when …

The automatic classification of ECG signals, also known as computer-based classification,
has become critically important in the diagnostic landscape of E-health. This study presents …

In modern Field Programmable Gate Array (FPGA) digital systems, power dissipation has
become a critical concern to design digital systems. As size shrinks and density increases in …

The Finite Impulse Response (FIR) filter is an important part of a Digital Signal Processing
(DSP) system. The Multiply and Accumulate (MAC) technique is used to compute the FIR …

The recent revolution in the biomedical field carried out the researchers to work on the
prosthetic technique because it reflects the amputee's need. Therefore, the …